DocumentCode :
3692703
Title :
Evaluating text features for lyrics-based songwriter prediction
Author :
Başar Kırmacı;Hasan Oğul
Author_Institution :
Department of Computer Engineering, Baş
fYear :
2015
Firstpage :
405
Lastpage :
409
Abstract :
We offer an automated way of estimating the author of a song using only its lyrics content. To this end, we introduce a complete text classification framework which takes raw lyrics data as input and report estimated songwriter. The performance of the system is evaluated based on its classification and retrieval ability on a large dataset of Turkish songs, which was collected in this study. The results promote the use of such technique as a complementary tool in music information retrieval applications.
Keywords :
"Support vector machines","Text categorization","Music information retrieval","Kernel","Feature extraction","Accuracy","Computational modeling"
Publisher :
ieee
Conference_Titel :
Intelligent Engineering Systems (INES), 2015 IEEE 19th International Conference on
Type :
conf
DOI :
10.1109/INES.2015.7329743
Filename :
7329743
Link To Document :
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